<template>
    <div class="dhzn_home">
        <!-- <transition-group appear tag="ul"> -->
        <div class="dh-title mb10">
            <div class="dh-t-content f14 bcwh br5 bs1g m10" v-for="(item,key) in statistics" :key="key">
                <p class="bb1 p5 bge7 b b00a">{{item.name}}</p>
                <div class="f24 p20 g6">{{item.number}}<span class="f16"></span></div>
            </div>
        </div>

        <div class="dh-content rel">
            <el-row>
                <!-- 订单图表 -->
                <el-col :span="12" class="p10" v-if="order.series[0].data !== ''">
                    <div class="dh-c-echarts br5">   
                        <echartsdom id="order" :data="order" style="height:350px" />
                    </div>
                </el-col>

                
                <!-- 店铺 -->
                <el-col :span="12" class="p10" v-if="shops.series[0].data !== ''">
                    <echartsdom id="shop" class="dh-c-echarts br5" :data="shops" style="height:350px" />
                </el-col>

            </el-row>

            <el-row>
                <!--  -->
                <el-col :span="12" class="p10" v-if="coupon.series[0].data !== ''">
                    <echartsdom id="coupon" class="dh-c-echarts br5" :data="coupon" style="height:400px" />
                </el-col>

                <el-col :span="12">  
                    <!-- <echartsdom id="ditu" class="dh-c-echarts br5" :data="sheetEcharts" style="height:400px" />                 -->
                    <div style="width:100%;height:500px" id="ditu" ref="sheetEchart"></div>
                </el-col>

            </el-row>
        </div>

    </div>
</template>

<script>
import echartsdom from "../views/echartsmod.vue";
// import Charts from "../views/Charts.vue";
// import mapData from "../js/map.js"
import echarts from "echarts";
const axios = require('axios');
export default {
    components: {
        echartsdom
    },
    data() {
        return {
            sheetEcharts: null,
            statistics:[],
            // 订单的柱状图
            order:{
                title: {
                    text: '本年平台订单数据',
                    subtext: '纯属虚构'
                },
                tooltip: {
                    trigger: 'axis',
                    axisPointer: {            // 坐标轴指示器，坐标轴触发有效
                        type: 'shadow'        // 默认为直线，可选为：'line' | 'shadow'
                    }
                },
                toolbox: {
                    show: true,
                    feature: {
                        dataView: {show: true, readOnly: false},
                        magicType: {show: true, type: ['line', 'bar']},
                        restore: {show: true},
                        saveAsImage: {show: true}
                    }
                },
                calculable: true,
                xAxis: [
                    {
                        type: 'category',
                        data: ['1月', '2月', '3月', '4月', '5月', '6月', '7月', '8月', '9月', '10月', '11月', '12月']
                    }
                ],
                yAxis: [
                    {
                        type: 'value'
                    }
                ],
                series: [
                    {
                        name: '订单量',
                        type: 'bar',
                        data: '',
                        itemStyle: {
                            normal: {
                　　　　　　　　//这里是重点
                                color: function(params) {
                                    //注意，如果颜色太少的话，后面颜色不会自动循环，最好多定义几个颜色
                                    var colorList = ['#c23531','#2f4554', '#61a0a8', '#d48265', '#91c7ae','#749f83', '#ca8622','#94c3ae','#648f38', '#ca2866','#17c9ae','#992f43', '#ca3038',];
                                    return colorList[params.dataIndex]
                                }
                            }
                        },
                        markPoint: {
                            data: [
                                {type: 'max', name: '最大值'},
                                {type: 'min', name: '最小值'}
                            ]
                        },
                        markLine: {
                            data: [
                                {type: 'average', name: '平均值'}
                            ]
                        }
                    }
                ]
            },

            // 店铺
            shops:{
                tooltip: {
                    trigger: 'axis',
                    axisPointer: {            // 坐标轴指示器，坐标轴触发有效
                        type: 'shadow'        // 默认为直线，可选为：'line' | 'shadow'
                    }
                },
                legend: {
                    data: ['线上店铺', '线下实体店']
                },
                grid: {
                    left: '3%',
                    right: '4%',
                    bottom: '3%',
                    containLabel: true
                },
                xAxis: {
                    type: 'category',
                    data: ['合伙人', '企业', '经销商', '企业老板', '企业店员', '普通老板','普通店员','普通用户']
                },
                yAxis: {
                    type: 'value'
                },
                series: [
                    {
                        name: '线上店铺',
                        type: 'bar',
                        stack: '总量',
                        label: {
                            show: true,
                            position: 'insideRight'
                        },
                        data: '',
                        itemStyle: {color: '#489cd4'},
                    },
                    {
                        name: '线下实体店',
                        type: 'bar',
                        stack: '总量',
                        label: {
                            show: true,
                            position: 'insideRight'
                        },
                        data: [0,0,0,0,0,0,0,0],
                        itemStyle: {color: '#00a2be'},
                    },
                ]
            },
        
            //优惠券
            coupon:{
                tooltip: {
                    trigger: 'axis',
                    axisPointer: {            // 坐标轴指示器，坐标轴触发有效
                        type: 'shadow'        // 默认为直线，可选为：'line' | 'shadow'
                    }
                },
                angleAxis: {
                },
                radiusAxis: {
                    type: 'category',
                    data: ['平台券', '店铺券', '商品券'],
                    z: 1000
                },
                polar: {
                },
                series: [{
                    type: 'bar',
                    data: '',
                    coordinateSystem: 'polar',
                    name: '满减券',
                    stack: 'a',
                    color: '#ff2020'
                }, {
                    type: 'bar',
                    data: [0,0,0],
                    coordinateSystem: 'polar',
                    name: '折扣券',
                    stack: 'a',
                    color: '#ff6868'
                }, {
                    type: 'bar',
                    data: [0,0,0],
                    coordinateSystem: 'polar',
                    name: '返现券',
                    stack: 'a',
                    color: '#ffb6b6'
                }],
                legend: {
                    show: true,
                    data: ['满减券', '折扣券', '返现券']
                }
            },

            data:[
                {name: '海门', value: 9},
                {name: '鄂尔多斯', value: 12},
                {name: '招远', value: 12},
                {name: '舟山', value: 12},
                {name: '齐齐哈尔', value: 14},
                {name: '盐城', value: 15},
                {name: '赤峰', value: 16},
                {name: '青岛', value: 18},
                {name: '乳山', value: 18},
                {name: '金昌', value: 19},
                {name: '泉州', value: 21},
                {name: '莱西', value: 21},
                {name: '日照', value: 21},
                {name: '胶南', value: 22},
                {name: '南通', value: 23},
                {name: '拉萨', value: 24},
                {name: '云浮', value: 24},
                {name: '梅州', value: 25},
                {name: '文登', value: 25},
                {name: '上海', value: 25},
                {name: '攀枝花', value: 25},
                {name: '威海', value: 25},
                {name: '承德', value: 25},
                {name: '厦门', value: 26},
                {name: '汕尾', value: 26},
                {name: '潮州', value: 26},
                {name: '丹东', value: 27},
                {name: '太仓', value: 27},
                {name: '曲靖', value: 27},
                {name: '烟台', value: 28},
                {name: '福州', value: 29},
                {name: '瓦房店', value: 30},
                {name: '即墨', value: 30},
                {name: '抚顺', value: 31},
                {name: '玉溪', value: 31},
                {name: '张家口', value: 31},
                {name: '阳泉', value: 31},
                {name: '莱州', value: 32},
                {name: '湖州', value: 32},
                {name: '汕头', value: 32},
                {name: '昆山', value: 33},
                {name: '宁波', value: 33},
                {name: '湛江', value: 33},
                {name: '揭阳', value: 34},
                {name: '荣成', value: 34},
                {name: '连云港', value: 35},
                {name: '葫芦岛', value: 35},
                {name: '常熟', value: 36},
                {name: '东莞', value: 36},
                {name: '河源', value: 36},
                {name: '淮安', value: 36},
                {name: '泰州', value: 36},
                {name: '南宁', value: 37},
                {name: '营口', value: 37},
                {name: '惠州', value: 37},
                {name: '江阴', value: 37},
                {name: '蓬莱', value: 37},
                {name: '韶关', value: 38},
                {name: '嘉峪关', value: 38},
                {name: '广州', value: 38},
                {name: '延安', value: 38},
                {name: '太原', value: 39},
                {name: '清远', value: 39},
                {name: '中山', value: 39},
                {name: '昆明', value: 39},
                {name: '寿光', value: 40},
                {name: '盘锦', value: 40},
                {name: '长治', value: 41},
                {name: '深圳', value: 41},
                {name: '珠海', value: 42},
                {name: '宿迁', value: 43},
                {name: '咸阳', value: 43},
                {name: '铜川', value: 44},
                {name: '平度', value: 44},
                {name: '佛山', value: 44},
                {name: '海口', value: 44},
                {name: '江门', value: 45},
                {name: '章丘', value: 45},
                {name: '肇庆', value: 46},
                {name: '大连', value: 47},
                {name: '临汾', value: 47},
                {name: '吴江', value: 47},
                {name: '石嘴山', value: 49},
                {name: '沈阳', value: 50},
                {name: '苏州', value: 50},
                {name: '茂名', value: 50},
                {name: '嘉兴', value: 51},
                {name: '长春', value: 51},
                {name: '胶州', value: 52},
                {name: '银川', value: 52},
                {name: '张家港', value: 52},
                {name: '三门峡', value: 53},
                {name: '锦州', value: 54},
                {name: '南昌', value: 54},
                {name: '柳州', value: 54},
                {name: '三亚', value: 54},
                {name: '自贡', value: 56},
                {name: '吉林', value: 56},
                {name: '阳江', value: 57},
                {name: '泸州', value: 57},
                {name: '西宁', value: 57},
                {name: '宜宾', value: 58},
                {name: '呼和浩特', value: 58},
                {name: '成都', value: 58},
                {name: '大同', value: 58},
                {name: '镇江', value: 59},
                {name: '桂林', value: 59},
                {name: '张家界', value: 59},
                {name: '宜兴', value: 59},
                {name: '北海', value: 60},
                {name: '西安', value: 61},
                {name: '金坛', value: 62},
                {name: '东营', value: 62},
                {name: '牡丹江', value: 63},
                {name: '遵义', value: 63},
                {name: '绍兴', value: 63},
                {name: '扬州', value: 64},
                {name: '常州', value: 64},
                {name: '潍坊', value: 65},
                {name: '重庆', value: 66},
                {name: '台州', value: 67},
                {name: '南京', value: 67},
                {name: '滨州', value: 70},
                {name: '贵阳', value: 71},
                {name: '无锡', value: 71},
                {name: '本溪', value: 71},
                {name: '克拉玛依', value: 72},
                {name: '渭南', value: 72},
                {name: '马鞍山', value: 72},
                {name: '宝鸡', value: 72},
                {name: '焦作', value: 75},
                {name: '句容', value: 75},
                {name: '北京', value: 79},
                {name: '徐州', value: 79},
                {name: '衡水', value: 80},
                {name: '包头', value: 80},
                {name: '绵阳', value: 80},
                {name: '乌鲁木齐', value: 84},
                {name: '枣庄', value: 84},
                {name: '杭州', value: 84},
                {name: '淄博', value: 85},
                {name: '鞍山', value: 86},
                {name: '溧阳', value: 86},
                {name: '库尔勒', value: 86},
                {name: '安阳', value: 90},
                {name: '开封', value: 90},
                {name: '济南', value: 92},
                {name: '德阳', value: 93},
                {name: '温州', value: 95},
                {name: '九江', value: 96},
                {name: '邯郸', value: 98},
                {name: '临安', value: 99},
                {name: '兰州', value: 99},
                {name: '沧州', value: 100},
                {name: '临沂', value: 103},
                {name: '南充', value: 104},
                {name: '天津', value: 105},
                {name: '富阳', value: 106},
                {name: '泰安', value: 112},
                {name: '诸暨', value: 112},
                {name: '郑州', value: 113},
                {name: '哈尔滨', value: 114},
                {name: '聊城', value: 116},
                {name: '芜湖', value: 117},
                {name: '唐山', value: 119},
                {name: '平顶山', value: 119},
                {name: '邢台', value: 119},
                {name: '德州', value: 120},
                {name: '济宁', value: 120},
                {name: '荆州', value: 127},
                {name: '宜昌', value: 130},
                {name: '义乌', value: 132},
                {name: '丽水', value: 133},
                {name: '洛阳', value: 134},
                {name: '秦皇岛', value: 136},
                {name: '株洲', value: 143},
                {name: '石家庄', value: 147},
                {name: '莱芜', value: 148},
                {name: '常德', value: 152},
                {name: '保定', value: 153},
                {name: '湘潭', value: 154},
                {name: '金华', value: 157},
                {name: '岳阳', value: 169},
                {name: '长沙', value: 175},
                {name: '衢州', value: 177},
                {name: '廊坊', value: 193},
                {name: '菏泽', value: 194},
                {name: '合肥', value: 229},
                {name: '武汉', value: 273},
                {name: '大庆', value: 279}
            ],
            geoCoordMap:{
                '海门':[121.15,31.89],
                '鄂尔多斯':[109.781327,39.608266],
                '招远':[120.38,37.35],
                '舟山':[122.207216,29.985295],
                '齐齐哈尔':[123.97,47.33],
                '盐城':[120.13,33.38],
                '赤峰':[118.87,42.28],
                '青岛':[120.33,36.07],
                '乳山':[121.52,36.89],
                '金昌':[102.188043,38.520089],
                '泉州':[118.58,24.93],
                '莱西':[120.53,36.86],
                '日照':[119.46,35.42],
                '胶南':[119.97,35.88],
                '南通':[121.05,32.08],
                '拉萨':[91.11,29.97],
                '云浮':[112.02,22.93],
                '梅州':[116.1,24.55],
                '文登':[122.05,37.2],
                '上海':[121.48,31.22],
                '攀枝花':[101.718637,26.582347],
                '威海':[122.1,37.5],
                '承德':[117.93,40.97],
                '厦门':[118.1,24.46],
                '汕尾':[115.375279,22.786211],
                '潮州':[116.63,23.68],
                '丹东':[124.37,40.13],
                '太仓':[121.1,31.45],
                '曲靖':[103.79,25.51],
                '烟台':[121.39,37.52],
                '福州':[119.3,26.08],
                '瓦房店':[121.979603,39.627114],
                '即墨':[120.45,36.38],
                '抚顺':[123.97,41.97],
                '玉溪':[102.52,24.35],
                '张家口':[114.87,40.82],
                '阳泉':[113.57,37.85],
                '莱州':[119.942327,37.177017],
                '湖州':[120.1,30.86],
                '汕头':[116.69,23.39],
                '昆山':[120.95,31.39],
                '宁波':[121.56,29.86],
                '湛江':[110.359377,21.270708],
                '揭阳':[116.35,23.55],
                '荣成':[122.41,37.16],
                '连云港':[119.16,34.59],
                '葫芦岛':[120.836932,40.711052],
                '常熟':[120.74,31.64],
                '东莞':[113.75,23.04],
                '河源':[114.68,23.73],
                '淮安':[119.15,33.5],
                '泰州':[119.9,32.49],
                '南宁':[108.33,22.84],
                '营口':[122.18,40.65],
                '惠州':[114.4,23.09],
                '江阴':[120.26,31.91],
                '蓬莱':[120.75,37.8],
                '韶关':[113.62,24.84],
                '嘉峪关':[98.289152,39.77313],
                '广州':[113.23,23.16],
                '延安':[109.47,36.6],
                '太原':[112.53,37.87],
                '清远':[113.01,23.7],
                '中山':[113.38,22.52],
                '昆明':[102.73,25.04],
                '寿光':[118.73,36.86],
                '盘锦':[122.070714,41.119997],
                '长治':[113.08,36.18],
                '深圳':[114.07,22.62],
                '珠海':[113.52,22.3],
                '宿迁':[118.3,33.96],
                '咸阳':[108.72,34.36],
                '铜川':[109.11,35.09],
                '平度':[119.97,36.77],
                '佛山':[113.11,23.05],
                '海口':[110.35,20.02],
                '江门':[113.06,22.61],
                '章丘':[117.53,36.72],
                '肇庆':[112.44,23.05],
                '大连':[121.62,38.92],
                '临汾':[111.5,36.08],
                '吴江':[120.63,31.16],
                '石嘴山':[106.39,39.04],
                '沈阳':[123.38,41.8],
                '苏州':[120.62,31.32],
                '茂名':[110.88,21.68],
                '嘉兴':[120.76,30.77],
                '长春':[125.35,43.88],
                '胶州':[120.03336,36.264622],
                '银川':[106.27,38.47],
                '张家港':[120.555821,31.875428],
                '三门峡':[111.19,34.76],
                '锦州':[121.15,41.13],
                '南昌':[115.89,28.68],
                '柳州':[109.4,24.33],
                '三亚':[109.511909,18.252847],
                '自贡':[104.778442,29.33903],
                '吉林':[126.57,43.87],
                '阳江':[111.95,21.85],
                '泸州':[105.39,28.91],
                '西宁':[101.74,36.56],
                '宜宾':[104.56,29.77],
                '呼和浩特':[111.65,40.82],
                '成都':[104.06,30.67],
                '大同':[113.3,40.12],
                '镇江':[119.44,32.2],
                '桂林':[110.28,25.29],
                '张家界':[110.479191,29.117096],
                '宜兴':[119.82,31.36],
                '北海':[109.12,21.49],
                '西安':[108.95,34.27],
                '金坛':[119.56,31.74],
                '东营':[118.49,37.46],
                '牡丹江':[129.58,44.6],
                '遵义':[106.9,27.7],
                '绍兴':[120.58,30.01],
                '扬州':[119.42,32.39],
                '常州':[119.95,31.79],
                '潍坊':[119.1,36.62],
                '重庆':[106.54,29.59],
                '台州':[121.420757,28.656386],
                '南京':[118.78,32.04],
                '滨州':[118.03,37.36],
                '贵阳':[106.71,26.57],
                '无锡':[120.29,31.59],
                '本溪':[123.73,41.3],
                '克拉玛依':[84.77,45.59],
                '渭南':[109.5,34.52],
                '马鞍山':[118.48,31.56],
                '宝鸡':[107.15,34.38],
                '焦作':[113.21,35.24],
                '句容':[119.16,31.95],
                '北京':[116.46,39.92],
                '徐州':[117.2,34.26],
                '衡水':[115.72,37.72],
                '包头':[110,40.58],
                '绵阳':[104.73,31.48],
                '乌鲁木齐':[87.68,43.77],
                '枣庄':[117.57,34.86],
                '杭州':[120.19,30.26],
                '淄博':[118.05,36.78],
                '鞍山':[122.85,41.12],
                '溧阳':[119.48,31.43],
                '库尔勒':[86.06,41.68],
                '安阳':[114.35,36.1],
                '开封':[114.35,34.79],
                '济南':[117,36.65],
                '德阳':[104.37,31.13],
                '温州':[120.65,28.01],
                '九江':[115.97,29.71],
                '邯郸':[114.47,36.6],
                '临安':[119.72,30.23],
                '兰州':[103.73,36.03],
                '沧州':[116.83,38.33],
                '临沂':[118.35,35.05],
                '南充':[106.110698,30.837793],
                '天津':[117.2,39.13],
                '富阳':[119.95,30.07],
                '泰安':[117.13,36.18],
                '诸暨':[120.23,29.71],
                '郑州':[113.65,34.76],
                '哈尔滨':[126.63,45.75],
                '聊城':[115.97,36.45],
                '芜湖':[118.38,31.33],
                '唐山':[118.02,39.63],
                '平顶山':[113.29,33.75],
                '邢台':[114.48,37.05],
                '德州':[116.29,37.45],
                '济宁':[116.59,35.38],
                '荆州':[112.239741,30.335165],
                '宜昌':[111.3,30.7],
                '义乌':[120.06,29.32],
                '丽水':[119.92,28.45],
                '洛阳':[112.44,34.7],
                '秦皇岛':[119.57,39.95],
                '株洲':[113.16,27.83],
                '石家庄':[114.48,38.03],
                '莱芜':[117.67,36.19],
                '常德':[111.69,29.05],
                '保定':[115.48,38.85],
                '湘潭':[112.91,27.87],
                '金华':[119.64,29.12],
                '岳阳':[113.09,29.37],
                '长沙':[113,28.21],
                '衢州':[118.88,28.97],
                '廊坊':[116.7,39.53],
                '菏泽':[115.480656,35.23375],
                '合肥':[117.27,31.86],
                '武汉':[114.31,30.52],
                '大庆':[125.03,46.58]
            }
        };
    },
    computed: {},
    watch: {},
    methods: {
        // echarts图标直接使用方式
        // drawLine() {
        //     // 基于准备好的dom，初始化echarts实例
        //     let myChart = this.$echarts.init(document.getElementById('myChart'))
        //     // 绘制图表配置
        //     let option = {
        //         tooltip: {},
        //         xAxis: {
        //             axisLabel:{interval:0,rotate:90,margin:10},
        //             type: 'category',
        //             data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
        //         },
        //         yAxis: {
        //             type: 'value'
        //         },
        //         series: [{
        //             data: [120, 200, 150, 80, 70, 110, 130],
        //             type: 'bar',
        //             showBackground: true,
        //             backgroundStyle: {
        //                 color: 'rgba(220, 220, 220, 0.8)'
        //             }
        //         }]
        //     };
        //     // 窗口大小自适应方案
        //     myChart.setOption(option);
        //     setTimeout(function() {
        //         window.onresize = function() {
        //             myChart.resize();
        //         }
        //     }, 200)
        // },

        // 订单(数据统计加图表时间轴以及两种数据显示)
        
        convertData(data) {
            var res = [];
            for (var i = 0; i < data.length; i++) {
                var geoCoord = this.geoCoordMap[data[i].name];
                if (geoCoord) {
                    res.push({
                        name: data[i].name,
                        value: geoCoord.concat(data[i].value)
                    });
                }
            }
            return res;
        },

        ditu(){
            this.sheetEcharts = echarts.init(document.getElementById('ditu'))

            this.sheetEcharts.setOption({
                title: {
                    text: '全国主要城市空气质量 - 百度地图',
                    subtext: 'data from PM25.in',
                    sublink: 'http://www.pm25.in',
                    left: 'center'
                },
                tooltip : {
                    trigger: 'item'
                },
                bmap: {
                    center: [104.114129, 37.550339],
                    zoom: 5,
                    roam: true,
                    mapStyle: {
                        styleJson: [{
                            'featureType': 'water',
                            'elementType': 'all',
                            'stylers': {
                                'color': '#d1d1d1'
                            }
                        }, {
                            'featureType': 'land',
                            'elementType': 'all',
                            'stylers': {
                                'color': '#f3f3f3'
                            }
                        }, {
                            'featureType': 'railway',
                            'elementType': 'all',
                            'stylers': {
                                'visibility': 'off'
                            }
                        }, {
                            'featureType': 'highway',
                            'elementType': 'all',
                            'stylers': {
                                'color': '#fdfdfd'
                            }
                        }, {
                            'featureType': 'highway',
                            'elementType': 'labels',
                            'stylers': {
                                'visibility': 'off'
                            }
                        }, {
                            'featureType': 'arterial',
                            'elementType': 'geometry',
                            'stylers': {
                                'color': '#fefefe'
                            }
                        }, {
                            'featureType': 'arterial',
                            'elementType': 'geometry.fill',
                            'stylers': {
                                'color': '#fefefe'
                            }
                        }, {
                            'featureType': 'poi',
                            'elementType': 'all',
                            'stylers': {
                                'visibility': 'off'
                            }
                        }, {
                            'featureType': 'green',
                            'elementType': 'all',
                            'stylers': {
                                'visibility': 'off'
                            }
                        }, {
                            'featureType': 'subway',
                            'elementType': 'all',
                            'stylers': {
                                'visibility': 'off'
                            }
                        }, {
                            'featureType': 'manmade',
                            'elementType': 'all',
                            'stylers': {
                                'color': '#d1d1d1'
                            }
                        }, {
                            'featureType': 'local',
                            'elementType': 'all',
                            'stylers': {
                                'color': '#d1d1d1'
                            }
                        }, {
                            'featureType': 'arterial',
                            'elementType': 'labels',
                            'stylers': {
                                'visibility': 'off'
                            }
                        }, {
                            'featureType': 'boundary',
                            'elementType': 'all',
                            'stylers': {
                                'color': '#fefefe'
                            }
                        }, {
                            'featureType': 'building',
                            'elementType': 'all',
                            'stylers': {
                                'color': '#d1d1d1'
                            }
                        }, {
                            'featureType': 'label',
                            'elementType': 'labels.text.fill',
                            'stylers': {
                                'color': '#999999'
                            }
                        }]
                    }
                },
                series : [
                    {
                        name: 'pm2.5',
                        type: 'scatter',
                        coordinateSystem: 'bmap',
                        data: this.convertData(this.data),
                        symbolSize: function (val) {
                            return val[2] / 10;
                        },
                        encode: {
                            value: 2
                        },
                        label: {
                            formatter: '{b}',
                            position: 'right',
                            show: false
                        },
                        itemStyle: {
                            color: 'purple'
                        },
                        emphasis: {
                            label: {
                                show: true
                            }
                        }
                    },
                    {
                        name: 'Top 5',
                        type: 'effectScatter',
                        coordinateSystem: 'bmap',
                        data: this.convertData(this.data.sort(function (a, b) {
                            return b.value - a.value;
                        }).slice(0, 6)),
                        symbolSize: function (val) {
                            return val[2] / 10;
                        },
                        encode: {
                            value: 2
                        },
                        showEffectOn: 'render',
                        rippleEffect: {
                            brushType: 'stroke'
                        },
                        hoverAnimation: true,
                        label: {
                            formatter: '{b}',
                            position: 'right',
                            show: true
                        },
                        itemStyle: {
                            color: 'purple',
                            shadowBlur: 10,
                            shadowColor: '#333'
                        },
                        zlevel: 1
                    }
                ]
            })
        },

        // 订单
        requestorder(){
            let that = this;
            axios({
                method: "post",
                url: "/api/dhorder/list",
                headers: {
                    'Content-Type': 'application/json',
                    'authorization': `Bearer ${JSON.parse(sessionStorage.getItem('token'))}`
                },
                data: JSON.stringify({current:1,size:1000000000})
            }).then(resp=>{
                // console.log(resp)
                that.statistics.push({name:"订单",number:resp.data.code})
                // let d = new Date(moment(resp.data.data[i].createTime).format())

                // 柱状图赋值
                let data = ['1月', '2月', '3月', '4月', '5月', '6月', '7月', '8月', '9月', '10月', '11月', '12月'];
                let time = [0,0,0,0,0,0,0,0,0,0,0,0];
                for(var i=0;i<resp.data.data.length;i++){
                    let month = new Date(resp.data.data[i].createTime*1000).getMonth() + 1 + "月";
                    for(var o=0;o<data.length;o++){
                        data[o] === month ? time[o] += 1 : '';
                    }
                }
                that.order.series[0].data = time
            }).catch(err=>{console.log(err)})
        },

        // 商品(仅仅数据统计，不要图标有时间周后可以加)
        requestgoods(){
            let that = this;
            axios({
                method: 'post',
                url: '/api/goods/list',
                headers: {
                    'Content-Type': 'application/json',
                    'authorization': `Bearer ${JSON.parse(sessionStorage.getItem('token'))}`
                },
                data: JSON.stringify({current:1,size:1000000000})
            }).then(resp=>{
                // console.log(resp)
                that.statistics.push({name:"商品",number:resp.data.code})
            }).catch(err=>{console.log(err)})
        },

        // 店铺(数据图八种店铺数量以及全国的店铺分部)
        requestshops(){
            let that = this;
            axios({
                method: 'post',
                url: '/api/shop/list',
                headers: {
                    'Content-Type': 'application/json',
                    'authorization': `Bearer ${JSON.parse(sessionStorage.getItem('token'))}`
                },
                data: JSON.stringify({current:1,size:1000000000})
            }).then(resp=>{
                // console.log(resp)
                that.statistics.push({name:"店铺",number:resp.data.code})
                // let puppetarr = [0,1,2,3,4,5,6,7]
                let echartsarr = [
                    [0,0,0,0,0,0,0,0],
                    [0,0,0,0,0,0,0,0]
                ]
                for(var i=0;i<resp.data.data.length;i++){
                    // console.log(i,resp.data.data.length)
                    let type = resp.data.data[i];
                    for(var o=0;o<echartsarr[0].length;o++){
                        if(type.belongType === o){
                            type.type === 0 ? echartsarr[0][o] += 1 : echartsarr[1][o] += 1;
                        }
                    }
                }
                that.shops.series[0].data = echartsarr[0]
                that.shops.series[1].data = echartsarr[1]
                // console.log(echartsarr)
            }).catch(err=>{console.log(err)})
        },

        // 优惠券(圆圈图加数据，三种优惠券的领取未领取状态区分)
        requestcoupon(){
            let that = this;
            axios({
                method: 'post',
                url: '/api/coupon/list',
                headers: {
                    'Content-Type': 'application/json',
                    'authorization': `Bearer ${JSON.parse(sessionStorage.getItem('token'))}`
                },
                data: JSON.stringify({current:1,size:1000000000})
            }).then(resp=>{
                console.log(resp.data.data)
                that.statistics.push({name:"优惠券",number:resp.data.code})
                let echartsarr = [
                    [0,0,0],
                    [0,0,0],
                    [0,0,0]
                ]
                for(var i=0;i<resp.data.data.length;i++){
                    let type = resp.data.data[i];
                    for(var o=0;o<echartsarr[0].length;o++){
                        if(type.source === o){
                            // type.type === 0 ? echartsarr[0][o] += 1 : echartsarr[1][o] += 1;
                            switch(type.type){
                                case 0: echartsarr[0][o] += 1;
                                break;
                                case 1: echartsarr[0][o] += 1;
                                break;
                                default: echartsarr[0][o] += 1;
                                break;
                            }
                        }
                    }
                }
                that.coupon.series[0].data = echartsarr[0];
                that.coupon.series[1].data = echartsarr[1];
                that.coupon.series[2].data = echartsarr[2];
            }).catch(err=>{console.log(err)})
        },

        // 拿token
        newtoken(){
            let that = this;
            let axios = require('axios')
			let loguser = JSON.parse(sessionStorage.getItem('updata'))
			let data = {username:loguser.username, password:loguser.password};
			let updata = JSON.stringify(data);
			axios({
				method: 'post',
				url: '/api/getAuthority/manager',
				headers: { 'Content-Type': 'application/json' },
				data: updata
			})
			.then( resp=> {
                that.token = resp.data.data;
				sessionStorage.setItem("token", JSON.stringify(resp.data.data))
                that.requestorder()
                setTimeout(()=>{
                    that.requestgoods()
                },100)
                setTimeout(()=>{
                    that.requestshops()
                },200)
                setTimeout(()=>{
                    that.requestcoupon()
                },300)
			}).catch( err=> {})
        },
    },
    created() {},
    mounted() {
        this.$nextTick(function() {
            // this.getEchart();
            this.newtoken()
        });
        // this.ditu()
        // this.getChartData();
    },
    beforeCreate() {},
    beforeMount() {},
    beforeUpdate() {},
    updated() {},
    beforeDestroy() {},
    destroyed() {},
    activated() {},
    }
</script>
<style scoped>
.dh-t-content{
    display: inline-block;
    width: 20%;
    /* height: 100px; */
    color:#489cd4;
}
.dh-c-echarts{
    background-color: #ffffff23;
    box-shadow: 0 0 5px #000000;
    box-sizing: border-box;
    color: #ff2020;
}
</style>